Introduction of equipment level FDC system for semiconductor wet-cleaning equipment optimization and real-time fault detection

Namjin Kim, Hojin Choi, J. Chun, Jongpil Jeong
{"title":"Introduction of equipment level FDC system for semiconductor wet-cleaning equipment optimization and real-time fault detection","authors":"Namjin Kim, Hojin Choi, J. Chun, Jongpil Jeong","doi":"10.1109/asmc54647.2022.9792476","DOIUrl":null,"url":null,"abstract":"The proposed paper presents an equipment level FDC system for the optimization and anomaly detection of semiconductor equipment. Through the equipment level FDC(Fault Detection and Classification) system, various data in the equipment can be converted into meaningful and accurate analysis data through context mapping to facilitate analysis of the management and condition of the equipment. In addition, it is possible to proactively identify and respond to problems at the equipment level before identifying and responding to problems on the host by processing data of diverse equipment in real time.","PeriodicalId":436890,"journal":{"name":"2022 33rd Annual SEMI Advanced Semiconductor Manufacturing Conference (ASMC)","volume":"17 S20","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 33rd Annual SEMI Advanced Semiconductor Manufacturing Conference (ASMC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/asmc54647.2022.9792476","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

The proposed paper presents an equipment level FDC system for the optimization and anomaly detection of semiconductor equipment. Through the equipment level FDC(Fault Detection and Classification) system, various data in the equipment can be converted into meaningful and accurate analysis data through context mapping to facilitate analysis of the management and condition of the equipment. In addition, it is possible to proactively identify and respond to problems at the equipment level before identifying and responding to problems on the host by processing data of diverse equipment in real time.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
介绍了用于半导体湿清洗设备优化和实时故障检测的设备级FDC系统
提出了一种用于半导体设备优化和异常检测的设备级FDC系统。通过设备级FDC(Fault Detection and Classification,故障检测与分类)系统,可以将设备中的各种数据通过上下文映射转换为有意义、准确的分析数据,便于对设备的管理和状态进行分析。此外,通过实时处理各种设备的数据,可以在主机上发现问题并做出响应之前,在设备层面主动发现问题并做出响应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
On-wafer organic defect review and classification with universal surface enhanced Raman spectroscopy Supply crisis parts commodities management during unplanned FAB shutdown recovery Nuisance Rate Improvement of E-beam Defect Classification Real-Time Automated Socket Inspection using Advanced Computer Vision and Machine Learning : DI: Defect Inspection and Reduction Negative Mode E-Beam Inspection of the Contact Layer
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1